CALL FOR PAPERS
IEEE 2014 8th International Symposium on Scientific Workflows and Big Data
Science (SWF 2014)
One day between June 27-July 2 2014, Alaska, USA
in conjunction with IEEE BigData 2014
Description
Today, many science and
engineering disciplines have become increasingly data-intensive. Massively
complex new instruments and simulators are generating massive data sets that
are described as big data. For example, in Physics, the Large Hadron Collider will
eventually generate about 15 petabytes (1 petabye is about
1,000,000 gigabyes) of data per year. In neuroscience, a complete map of
the brain's neural circuitry would generate about
1000 exabytes (an exabyte is about 1000 petabytes). The
coming data deluge poses great challenges to the whole lifecycle of data
management, from data collection, data storage, to data processing and
visualization. In the meanwhile, workflow has become a popular paradigm for
scientists and engineers to formalize and structure complex processes to solve
increasingly data-intensive scientific and engineering problems. The importance
of workflow is well recognized by NSF as well as by numerous workshops. As a
recent Science article concluded, "In the future, the rapidity with which
any given discipline advances is likely to depend on how well the community
acquires the necessary expertise in database, workflow management,
visualization, and cloud computing technologies."
The theme of this year's
SWF symposium is "Advances in Workflows addressing the Big Data
Challenge", recognizing the big data challenge in scientific workflows.
Built upon the successful history of SWF
(http://www.cs.wayne.edu/~shiyong/swf/) since 2007, this year, we broaden the
scope of SWF to include big data oriented workflows, soliciting papers to share
the challenges, experiences, and lessons in applying workflow technologies to
various data-driven science and engineering problems. Topics of
interests include, but are not limited to:
List of topics
·
Big-data workflows
·
Data-driven workflows
·
Event-driven workflows
·
Scientific workflow
provenance management and analytics
·
Scientific workflow
data, metadata, service, and task management
·
Scientific workflow
architectures, models, languages, systems, and algorithms
·
Scientific workflow
monitoring, debugging, exception handling, and fault tolerance
·
Streaming data
processing in scientific workflows
·
Pipelined, data,
workflow, and task parallelism in scientific workflows
·
Cloud, Service, Grid, or
hybrid scientific workflows
·
Data, metadata, compute,
user-interaction, or visualization-intensive scientific workflows
·
Semantic techniques for
scientific workflows
·
Scientific workflow
composition
·
Security issues in
scientific workflows
·
Data integration and
service integration in scientific workflows
·
Scientific workflow
mapping, optimization, and scheduling
·
Scientific workflow
modeling, simulation, analysis, and verification
·
Scalability,
reliability, extensibility, agility, and interoperability
·
Scientific workflow applications
and case studies
·
Enterprise workflow
management and services computing
·
Enterprise workflow
cooperation and collaboration
Important dates
(Program chairs can
grant extension to individuals under special circumstances provided that the
hard deadline for the camera-ready version is respected.)
·
Full Paper Submission
Due Date: April 7, 2014 (extended to
April 15, 2014)
·
Decision Notification
(Electronic): April 22, 2014
·
Camera-Ready Copy Due
Date & Pre-registration Due: May 1, 2014
Paper submission
Authors are invited to
submit full papers (about 8 pages) or short papers (about 4 pages) as IEEE 8.5
x 11 manuscript guidelines. All papers should be in PDF and submitted via at the submission system.
First time users need to
register with the system first. All the accepted papers by the SWF symposium
will be included in the Proceedings of the Seventh IEEE 2014 World Congress on
Services (SERVICES 2014) which will be published by IEEE Computer Society.
Program chairs
·
Ilkay Altintas, altintas@sdsc.edu, University of California, San Diego, U.S.A.
·
Liqiang Wang, wang@cs.uwyo.edu,
University of Wyoming, U.S.A.
Publicity chairs
·
Yong Zhao, University of
Electronic Science and Technology of China, China
Program committee
·
Jamal Alhiyafi, University of Dammam, Saudi Arabia
·
Artem Chebotko, DataStax,
Inc., USA
·
Jinjun Chen, Swinburne University of
Technology, Australia
·
Wanghu Chen, Northwest Normal University,
China
·
Tyrone W A
Grandison, IBM T.J. Watson Research Center, USA
·
Thomas Hacker, Purdue University, U.S.A.
·
Sean Thorpe, University of Technology , Jamaica
· Zoe Lacroix, Arizona State University, U.S.A.
·
Yi Gu, Middle Tennessee State University,
U.S.A.
·
Murali
Mani, University of Michigan at Flint, U.S.A.
·
Marta Mattoso, Federal University of Rio de
Janeiro, Brazil
·
Paolo Missier, Newcastle University, U.K.
·
Marlon Pierce, Indiana University, U.S.A.
·
Wei Tan, IBM T. J. Watson Research
Center, U.S.A.
·
Jianwu Wang, San Diego Super Computer Center,
U.S.A.
·
Qishi Wu, University of Memphis, U.S.A.
·
Weiwei Xing, Beijing Jiaotong University, China
·
Ping Yang, Binghamton University, U.S.A.
·
Yong Zhao, University of Electronic Science
and Technology of China, China
·
Min Zhu, Sichuan University, China
Steering Committee
·
Ilkay Altintas,
University of California, San Diego
·
Ian Foster, University
of Chicago
·
Shiyong Lu, Wayne State
University (Chair)
·
Calton Pu, Georgia
Tech
·
Liqiang Wang ,
University of Wyoming